The purpose of the study is to get some pieces of prior information to eventually develop competitive swimming suit designs with Korean traditional images. The study has been accomplished in following steps. First, as theoretical research, the history of swimming suit design and the requirements in designing competitive swimming suits were studied. Second, as practical research, at first, the trend of the competitive swimming suit designs in the national swimming suit market was examined. And then. the questionnaire surveys of both professional and amateur swimmers about their design preferences with purchasing and fabric-related tendencies were conducted for understanding professionals' characters more exactly. This data were analyzed through cross-analysis and multi-response analysis and x 2 was used. The results of this study can be summarized as follows : First, athletes' preferential design tendency for the swimming suit designs were examined in the aspects of style, color, pattern, logo, and accessary. In style, female athletes preferred an athletic one-piece style and male ones preferred a brief style. In color. neutral, mostly black was preferred most and cold color group like dark blue and navy blue next, regardless of sex. In addition, they preferred similar color coordination. In pattern, though solid fabrics were mostly preferred in both sexes, especially Taeguk motive were considered the most appropriate pattern to show Korean image. Besides, logo was considered importantly, and swimming caps and goggles of accessaries were generally used. Second, athletes' swimming suit purchasing tendency was as a following. the number of swimming suits possessed was more than 4 pieces. the durable period was less than 3 months. and the most important point considered in purchasing was an easy fitting for men and a design with an easy fitting for women. And most of swimming athletes preferred foreign products than domestic ones, which was attributed to excellent quality, easy fitting, and good design. and so on. Third, in fabric-related tendency, food touch, easy fitting. and opaqueness were considered importantly. and durability to chlorine, elasticity, color fastness, easy draining, lightness, and so on were demanded forward.
Journal of the Institute of Electronics and Information Engineers
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v.53
no.12
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pp.120-127
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2016
In order to acquire digital x-ray images, developing radiography detectors have been recently conducted based on the DR (digital radiography) technology. The noise property of the radiography detector can be observed from measuring the NNPS (normalized noise power spectrum) using uniform exposure images. Here, the image difference of two images is used to remove the fixed pattern noise in measuring the detector NNPS. In this paper, two average images are first calculated using several images and then their difference is used to calculate an NNPS value. Here, the obtained NNPS value is usually lower than the true detector NNPS due to the average. Hence, a compensation constant, which is a function of the number of used images, is also proposed to compensate the NNPS value to obtain the true detector NNPS. Furthermore, another measurement method, in which the ratio of the average images is used, is proposed. Through NNPS measuring experiments using real x-ray images, it is observed that the proposed method can provide further accurate NNPS measurements.
We have inserted epidural catheter for single or continuous injection of a drug for epidural analgesia. It is important to localize the tip of epidural catheter in appropriate site to acquire the most effective analgesia. In epidural block, we observed course and location of the tip of epidural catheter. Subject: 70 patients were divided into group I(non-injection of saline group during catheter insertion) and group II(injection group during catheter insertion). Group I included cervical(n=20), thoracic(n=10), and lumbar(n=20) epidural group. Group II, cervical(n=10), and lumbar(n=10) epidural group. Method: 19G FlexTip $Plus^{TM}$ Epidural Catheter ($Arrow^{(R)}$) was inserted 10cm cephaladly in epidural space with(group II) or without(group I) saline flushing. We observed course and location of the tip of epidural catheter by C-arm image intensifier during injection of contrast media ($Omnipaque^{(R)}$). Result: In group I, the number of tips of epidural catheters located within 2 cm from inserted site were: cervical 14/20(70%), thoracic 2/10(20%). lumbar 16/20(80%). In thoracic epidural blocks, tips of epidural catheters were more cephaladly located than with cervical and lumbar epidural blocks. With cervical epidural blocks, the number of tips of epidural catheters located within 2 cm from insertion site were less in group II than group I (20% vs. 70%). But no significant differences were noted between group I and group II with lumbar epidural block(90% vs. 80%). The number of tips of epidural catheters located around a predicted site were: cervical 2/20(10%), thoracic 4/10(40%), lumbar 0/20(0%) in group I, and cervical 2/10(20%), lumbar 1/10(10%) in group II. Conclusion: It was impossible to predict the exact location of tips of epidural catheters by measuring the inserted length without epidurogram. With many cases, tips of epidural catheters were located around the insertion site in lumbar epidural blocks, and in some cases around the predicted site in thoracic epidural blocks. The results suggests that epidural block should be done at a point near the required band of analgesia.
Journal of the Korea Society of Computer and Information
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v.19
no.3
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pp.25-35
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2014
This paper proposes a method of boosting-based classification for the purpose of real-time face detection. The proposed method uses depth images to ensure strong performance of face detection in response to changes in lighting and face size, and uses the depth difference feature to conduct learning and recognition through the I-MCTBoost classifier. I-MCTBoost performs recognition by connecting the strong classifiers that are constituted from weak classifiers. The learning process for the weak classifiers is as follows: first, depth difference features are generated, and eight of these features are combined to form the weak classifier, and each feature is expressed as a binary bit. Strong classifiers undergo learning through the process of repeatedly selecting a specified number of weak classifiers, and become capable of strong classification through a learning process in which the weight of the learning samples are renewed and learning data is added. This paper explains depth difference features and proposes a learning method for the weak classifiers and strong classifiers of I-MCTBoost. Lastly, the paper presents comparisons of the proposed classifiers and the classifiers using conventional MCT through qualitative and quantitative analyses to establish the feasibility and efficiency of the proposed classifiers.
Sarker, Md.Mostafa Kamal;Yoon, Sook;Lee, Jaehwan;Park, Dong Sun
The Journal of Korean Institute of Communications and Information Sciences
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v.38C
no.12
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pp.1114-1125
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2013
License Plate Detection (LPD) is a key component in automatic license plate recognition system. Despite the success of License Plate Recognition (LPR) methods in the past decades, the problem is quite a challenge due to the diversity of plate formats and multiform outdoor illumination conditions during image acquisition. This paper aims at automatical detection of car license plates via image processing techniques. In this paper, we proposed a real-time and robust method for license plate detection using Heuristic Energy Map(HEM). In the vehicle image, the region of license plate contains many components or edges. We obtain the edge energy values of an image by using the box filter and search for the license plate region with high energy values. Using this energy value information or Heuristic Energy Map(HEM), we can easily detect the license plate region from vehicle image with a very high possibilities. The proposed method consists two main steps: Region of Interest (ROI) Detection and License Plate Detection. This method has better performance in speed and accuracy than the most of existing methods used for license plate detection. The proposed method can detect a license plate within 130 milliseconds and its detection rate is 99.2% on a 3.10-GHz Intel Core i3-2100(with 4.00 GB of RAM) personal computer.
An efficient method for implementing image reconstruction algorithms for Compton cameras is presented. Since Compton scattering formula establishes a cone surface from which the incident photon must have originated, it is crucial to implement a computationally efficient cone-surface integration method for image reconstruction. In this paper we assume that a cone is made up of a series of ellipses (or circles) stacked up one on top of the other. In order to reduce computational burden for tracing ellipses formed by the intersection of a cone and an image plane, we propose a new method using a series of imaginary planes perpendicular to the cone axis so that each plane contains a circle, not an ellipse. In this case the cone surface integral can be performed by simply accumulating the circles along the cone axis. To reduce the computational cost of tracing circles, only one of the circles in the cone is traced and the rest are determined by using simple trigonometric ratios. For our experiments, we used the three different schemes for tracing ellipses; (i) using the samples generated by the ellipse equation, (ii) using the fixed number of samples along a circle on the imaginary plane, and (iii) using the fixed sampling interval along a circle on the imaginary plane. We then compared performance of the above three methods by applying them to the two reconstruction algorithms - the simple back-projection method and the expectation-maximization algorithm. The experimental results demonstrate that our proposed methods (ii) and (iii) using imaginary planes significantly improve reconstruction accuracy as well as computational efficiency.
Journal of the Korean Society of Marine Environment & Safety
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v.28
no.6
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pp.1054-1062
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2022
The population of Korea's solar salt-producing regions is rapidly aging, resulting in a decrease in the number of productive workers. In solar salt production, salt collection is the most labor-intensive operation because existing salt collection vehicles require human operators. Therefore, we intend to develop an unmanned solar salt collection vehicle to reduce manpower requirements. The unmanned solar salt collection vehicle is designed to identify the salt collection status and location in the salt plate via color detection, the color detection performance is a crucial consideration. Therefore, an image processing algorithm was developed to improve color detection performance. The algorithm generates an around-view image by using resizing, rotation, and perspective transformation of the input image, set the RoI to transform only the corresponding area to the HSV color model, and detects the color area through an AND operation. The detected color area was expanded and noise removed using morphological operations, and the area of the detection region was calculated using contour and image moment. The calculated area is compared with the set area to determine the location case of the collection vehicle within the salt plate. The performance was evaluated by comparing the calculated area of the final detected color to which the algorithm was applied and the area of the detected color in each step of the algorithm. It was confirmed that the color detection performance is improved by at least 25-99% for salt detection, at least 44-68% for red color, and an average of 7% for blue and an average of 15% for green. The proposed approach is well-suited to the operation of unmanned solar salt collection vehicles.
The objective of this study was to evaluate college students’dietary and health behaviors in relation to their Myers-Briggs Type Indicator (MBTI) personality preferences. Dietary and health behaviors were surveyed for 444 college students who performed the MBTI personality test. Only 6.1% of the subjects regularly had three meals a day, while 27.1% ate breakfast every day. Fifty-six point nine percent of the students took less than 15 minutes to eat a meal and had the habit of eating fast. The number of food groups they ate was, on average, 2.74 and was eaten mainly at dinner. This showed that college students did not eat a large variety of foods. Eighty-two percent of the subjects drank alcoholic beverages, 21.4% smoked, and 69.3% exercised. In addition, 73.9% of them were not satisfied with their body image, but they were not eager to try weight control. There were not many significant differences between Extraversion (E)-Introversion (I), Sensing (S)-iNtuition (N), and Thinking (T)-Feeling (F) in their dietary and heath behaviors, although some gender differences existed. Significantly better dietary and health behaviors were shown in subjects preferring Judging (J) rather than Perceiving (P). There behaviors included eating breakfast, regularly eating three meals a day, smoking less, exercising more and having a lower tendency to night-eating. The personality preference of J-P could be useful index for nutritional education and counseling or behavior modification programs for obese people.
Several observational results show a tighter pitch angle at wavelengths of optical and near-infrared than those that are associated with star formation, which is in agreement with the prediction of the density wave theory. In my recent numerical studies, the dependence of the shock positions relative to the potential minima is due to the tendency that stronger shocks form farther downstream. This causes a systematic variation of the perpendicular Mach number, with radius and makes the pitch angle of the gaseous arms smaller than that of the stellar arms, which supports the prediction of the density-wave theory, independently. However, some observations still give controversial results which show similar pitch angles at wavelengths, and there is no statistical study comparing observations and numerical models directly. By analyzing optical image of disk galaxies in the Carnegie-Irvine Galaxy Survey (CGS), I measured the physical values of stellar and gaseous arms such as their strength, length, and pitch angles. For direct comparison with numerical results, I analyzed more than 30 additional numerical models with varying the initial parameters in model galaxies. In this talk, I will present results both of observational and numerical samples and discuss the physical properties of spiral structures based on the density-wave theory.
The one-person producing system is that planning program, arrangements, composition, taking pictures and edition are all done by only one person. In the reality of the producing systems of the broadcasting programs, as the number of the broadcasting stations, which apply one-person producing systems, is gradually increasing, the study on the change is going on. In this study I grasped the merits and demerits of both systems ; multi men producing system and one-person producing system. And then I analyzed the sudden change of the method of the producing programs into one using the 6m digital camera. The merits of producing programs by means of the 6m digital cameras are following ; the mobility of producing programs, a close contact with the source, the enlargement of the diversity of the contents and cutting down expenses. The demerits of it are following ; a lowering of the degree of completion and the unstableness of an image. Nowadays because of the enlargement of the rate of the outsourcing production, the number of the independent production studios rapidly increased. From the viewpoint of cutting down expenses and the diversity of contents, the number of broadcasting programs produced by means of one-person producing broadcasting program system is increasing.
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